Instructions to use DeverStyle/Flux.2-Klein-Loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DeverStyle/Flux.2-Klein-Loras with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DeverStyle/Flux.2-Klein-Loras") prompt = "Orange Splatter Illustration samples" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- d9edffdeba38c653e9221b6ccc4070a6bd41f163b14fb50d77bcaede98ecbf41
- Size of remote file:
- 1.32 MB
- SHA256:
- 50bfd7608ae74a7c1a72845445710fdf8d0dbf63e15f1bdf127d2d6026d17f6d
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